SafeMode - Analysis: atendegestaomendes.online

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Visual Capture

Detection Info

http://atendegestaomendes.online/

Detected Brand

Hapvida NotreDame Intermédica

Country

Unknown

Confidence

95%

HTTP Status

200

Report ID

fa0222fb-2a3…

Analyzed

2026-05-04 23:54

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1861251348884A53F4693E1D9EB70AB1FE2D1D14ACD232F1696F8875C0FCAE91CC94799
CONTENT ssdeep	192:scKoIRwHrBgYVvdiGVfjmDL3LO9kJU3U3b:PziGVfjmDL3LOuJU3U3b

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	fce396c2a9d0e0d4
VISUAL aHash	ff8080c8c0e09e9f
VISUAL dHash	692a323212053434
VISUAL wHash	ff80c8d888e09e9f
VISUAL colorHash	06600010040
VISUAL cropResistant	692a323212053434,3c2c1f0f07273396,0f0303232323038f,3339391815267333,a0038e8f1f3e63e6,30381bcb8333b363

Code Analysis

Risk Score 50/100

Threat Level ALTO

⚠️ Phishing Confirmed

🎣 OTP Stealer

📊 Risk Score Breakdown

Total Risk Score

75/100

Contributing Factors

Active Phishing Kit

Detected kit types: OTP Stealer

🔬 Comprehensive Threat Analysis

Threat Type

Two-Factor Authentication Stealer

Target

Hapvida NotreDame Intermédica users

Attack Method

Phishing webpage

Exfiltration Channel

Form submission (backend endpoint not detected - likely JavaScript-based)

Risk Assessment

MEDIUM - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

Kit types: OTP Stealer

🏢 Brand Impersonation Analysis

Impersonated Brand

Hapvida NotreDame Intermédica

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Attack Methodology

Primary Method: Two-Factor Authentication Bypass

Victim is prompted for 2FA code after entering credentials. The code is intercepted and used by attacker to access victim's account in real-time.

Secondary Method: Client-Side Form Interception

JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.